IEEE Visualization '96
Capstone Session: The Discriminability of Colored-Patterns:
Less than Meets the Eye
Speaker: Brian Wandell, Stanford University
Grand Peninsula Ballroom D
Color scientists and engineers have made significant progress in
building perceptually-based measurement tools for evaluating color
reproduction technologies. Much of the collected wisdom of color
science is summarized in discrimination metrics (e.g., CIELAB) and
color appearance models (e.g., RLAB, Hunt and Nayatani's work). These
tools are useful for solving color imaging problems involving fairly
large (2 deg of visual angle) targets that are measured in paint,
textile, and other manufacturing industries.
The rapid advances in digital imaging and computer graphics technology
provides a new domain where color reproduction metrics are needed.
Digital imaging technologies usually involve color images with a wide
range of spatial structure, including large uniform areas and rapidly
varying areas with fine spatial details. Existing color metrics
were not designed for such images, and to extend the metrics we must
re-think some of the fundamental issues concerning color
discrimination and appearance.
We have been working on extensions of color metrics based on two main
principles. First, new metrics for digital color imaging should be
backwards compatible with current color discrimination standards.
Second, the new models should integrate the main visual phenomena that
are widely used in digital imaging technologies, such as JPEG and
MPEG. Probably the most important aspect of these digital imaging
technologies is their reliance on the observation that color vision is
very poor at moderate and high spatio-temporal frequencies.
My presentation will consist of (a) a brief summary of the
intellectual foundations of our current metrics (b) demonstrations
some of the principal phenomena that connect pattern and color, and
(c) a description of some current attempts to merge models of color
and pattern discrimination into new digital image metrics for color
Professor Brian Wandell has been a member of the Psychology and
Neuroscience Departments at Stanford University since 1979. His
research includes the study of color appearance, surface and
illuminant estimation algorithms, industrial applications of color
science, and functional magnetic resonance imaging of brain activity.
Wandell is a Fellow the Optical Society of America. He has served as
an editor of Vision Research; he is the principal organizer of
the Smart Color seminar series on color image systems
engineering and a co-founder of the Image Systems Engineering Program
at Stanford. Wandell is the author of Foundations of Vision, a
textbook on Vision Science. Wandell won the 1986 Troland Research
Award from the U.S. National Academy of Sciences for his work in
color vision. (http://white.stanford.edu/~brian)